Three core pillars—tools, memory, and repository context—determine how LLMs perform in production coding environments. These agents leverage specific toolsets to interact with files and execute tests. Integrating deep repo context reduces hallucinations. Practitioners must prioritize these architectural elements to move beyond simple chat interfaces toward autonomous software engineering workflows.